127 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Fellowship positions at Harvard University
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding
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of high quality, original, independent research. They will be chosen by the Program Board of the American School of Prehistoric Research. Prior to applying, candidates are encouraged to communicate
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, 2026. Contact Information Sandy Cantave Vil cantave@fas.harvard.edu Program Coordinator Center for Jewish Studies at Harvard University 6 Divinity Ave, Suite 210 Cambridge, MA 02138 (617) 495-4326
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approaches may include—but are not limited to—causal inference, spatial analysis, computational text analysis, and archival or ethnographic research. Postdoctoral candidates with relevant research interests
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like to work during the fellowship year. Please do not contact faculty directly at this stage. All application materials must be in English. Contact Information Harriet Wong Program Administrator
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for Climate and Sustainability at Harvard University. The position is part of a program at the Institute on Expediting the EV Transition. The position includes a competitive salary and Harvard University
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling